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<a href="matlab:edit(fullfile(dreamroot,'updatePCrossover'))">View source code of the function <span style="font-family:monospace">updatePCrossover()</span> in the MATLAB editor</a><br><br>
<a href="matlab:web(fullfile(dreamroot,'html','contents.html'),'-helpbrowser')">Toolbox contents</a>
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updatePCrossover
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Syntax
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<code>[pCrossover,crossoverCount] = updatePCrossover(dreamPar,allCrossoverValues,deltaTot,crossoverCount)</code>
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Input arguments
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<ul>
<li><span style="font-family:monospace">dreamPar</span> is a structure containing the parameters of the DREAM algorithm.
<li><span style="font-family:monospace">allCrossoverValues</span> is a <span class="code">dreamPar.nSeq x dreamPar.nOffspringPerSeq </span>
matrix that contains the crossover probabilities.
<li><span style="font-family:monospace">deltaTot</span> is a vector of <span class = "code">dreamPar.nCrossoverValues</span> elements 
 representing the averaged normalized jumping distance.
<li><span class="code">crossoverCount</span> is a vector with <span class = "code">dreamPar.nCrossoverValues</span> 
elements containing the number of times a particular crossover value is used.
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Output arguments
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<li><span class="code">pCrossover</span> is a vector with <span class = "code">dreamPar.nCrossoverValues</span> 
elements containing the current crossover probabilities updated taking into account the current iteration.
<li><span class="code">crossoverCount</span> is a vector with <span class = "code">dreamPar.nCrossoverValues</span> 
elements containing the updated <span class="code">crossoverCount</span> taking into account the current iteration.
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Description
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Updates the probabilities of the various crossover values.
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